The SSIM index measures the perceptual difference between two similar images. The local mean, variance and structure are computed to find an local quality score [1]}. The SSIM index computes changes to local mean, local variance and local structure between two images \(X\)  and \(\hat{X}\) . The local scores are then averaged across the image to find the image quality score.
